Analysis of Hepatitis Patient Data using Binary Artificial Algae Algorithm based on K-Nearest Neighbor

Analysis of Hepatitis Patient Data using Binary Artificial Algae Algorithm based on K-Nearest Neighbor

Introduction: The timely diagnosis and prediction of diseases are among the main issues in medical sciences. The use of decision-making systems to discover the underlying knowledge in the disease information package and patient records is one of the most effective ways of diagnosing and preventing d...

Full description

Bibliographic Details
Main Authors: Atefe Biglari Saleh, Farhad Soleimanian Gharehchopogh
Format: Article
Language:fas
Published: Ilam University of Medical Sciences 2020-06-01
Series:Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Īlām
Subjects:
binary artificial algae algorithm
feature selection
hepatitis disease diagnosis
k-nearest neighbor
medical decision making system
Online Access:http://sjimu.medilam.ac.ir/article-1-5323-en.html

Internet

http://sjimu.medilam.ac.ir/article-1-5323-en.html

Similar Items